Senior Vice President, Data Product Architect

BNY Mellon

$180K — $220K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10-12 years of experience in data management services, particularly in Asset Servicing, Fund Accounting, and Capital Markets.
  • Demonstrated expertise in Reference Data, Master Data, Business Data Architecture or Information Architecture.
  • Strong background in defining and designing complex models of parties, clients, or accounts.
  • Experience in creating authoritative-source and lifecycle-management models, including global identifiers and entity resolution.
  • Proficient in SQL and hands-on data profiling, with strong data-quality assessment skills.
  • Ability to translate complex business scenarios into actionable engineering requirements.
  • Bachelor's degree in computer science or related field.

Responsibilities

  • Define conceptual and logical models for various entity relationships within the organization.
  • Model complex operational relationships across Asset Servicing to ensure alignment.
  • Establish protocols for how Reference Data is managed and retired.
  • Design rules for matching and resolving discrepancies in data, including stewardship processes.
  • Conduct data validation using SQL to ensure integrity and accuracy of relationships and business rules.
  • Analyze duplicate and conflicting data to maintain clean records within systems.
  • Collaborate with Engineering to manage dependencies and implementation strategies.

Benefits

  • Access to flexible global resources and tools for personal and professional growth.
  • Focus on health and personal resilience with wellbeing programs.
  • Generous paid leave policies, including paid volunteer time.
  • A strong culture of excellence and support for employee development.
Full Job Description
Job Description

Senior Vice President,Business Data Architect

We are seeking a Senior Vice President, Business Data Architect to turn our Reference Data strategy into practical business architecture, operating models and engineering-ready requirements. The initial focus will be the relationships among Client, Party, Legal Entity, Contract, Product, Service, Enterprise Account, domain accounts and investment structures. This role is based in New York, NY.

In this role, you'll make an impact by:

Business Architecture and Reference Data Design
  • Define conceptual and logical models for Party, Client, Legal Entity, Account, Contract, Product, Service, Instrument and related hierarchies.
  • Model complex legal, commercial, servicing and operational relationships across Asset Servicing.
  • Define enterprise identifier, cross-reference, entity-resolution, hierarchy and effective-dating patterns.
  • Translate business outcomes and representative scenarios into testable rules and requirements.
  • Define authoritative-source, registry and Reference Data distribution patterns.

Operating Model and Adoption
  • Define how Reference Data is requested, created, matched, approved, enriched, changed, linked and retired.
  • Establish ownership and decision rights across Product, Operations, Data, UCM, CRM and servicing platforms.
  • Design match, resolve or create rules, including stewardship, controls, exceptions and escalation.
  • Develop reusable transition and adoption patterns for additional business domains.

Data Analysis and Engineering Partnership
  • Use SQL and data profiling to validate relationships, hierarchies, business rules and data-quality assumptions.
  • Analyze duplicate, incomplete and conflicting identifiers and trace representative records across systems.
  • Develop lightweight prototypes to test architecture hypotheses and accelerate decisions.
  • Translate the architecture into functional requirements, mappings, acceptance criteria and controls.
  • Partner with Engineering on options, dependencies, sequencing and implementation trade-offs.

To be successful in this role, we're seeking the following:
  • Significant experience in Reference Data, Master Data, Business Data Architecture or Information Architecture.
  • Demonstrated experience designing complex party, client, account or relationship models.
  • Experience defining authoritative-source and lifecycle-management models, global identifiers, entity resolution, golden-record or registry patterns.
  • Experience translating business scenarios into engineering-ready requirements.
  • Experience partnering directly with Product, Operations, Architecture and Engineering.
  • Strong conceptual, logical, hierarchy, relationship and effective-dated modeling skills.
  • Experience designing Reference Data lifecycle, stewardship, data-quality and control processes.
  • Strong SQL and hands-on data-profiling capabilities.
  • Ability to connect business outcomes, operating processes, data models and engineering requirements.
  • Ability to lead focused design sessions, influence without authority and move stakeholders toward decisions.
  • Pragmatic judgment and the ability to distinguish working hypotheses from approved decisions.
  • Bachelor's degree in computer science or a related discipline, or equivalent work experience required
  • 10-12 years of related experience in data management services required; experience in Asset Servicing, Fund Accounting, Custody, Middle Office, Transfer Agency, Wealth Management or Capital Markets


Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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